Fast-RCNN Coupled Four-Dense Layered Deep Fully Connected Neural Network-Based Insulator Chain Defect Defection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1724-8_44
Reference20 articles.
1. X Miao X Liu J Chen S Zhuang J Fan H Jiang 2019 Insulator detection in aerial images for transmission line inspection using single shot multibox detector IEEE Access 7 9945 9956
2. L Yang X Jiang Y Hao L Li H Li R Li B Luo 2017 Recognition of natural ice types on in-service glass insulators based on texture feature descriptor IEEE Trans Dielectr Electr Insul 24 1 535 542
3. J Katrasnik F Pernus B Likar 2010 A survey of mobile robots for distribution power line inspection IEEE Trans Power Del 25 1 485 493
4. Z Zhao Z Zhen L Zhang Y Qi Y Kong K Zhang 2019 Insulator detection method in inspection image based on improved faster R-CNN Energies 12 7 1204
5. Xie S, Girshick R, Dollar P, Tu Z, He K (2017) Aggregated residual transformations for deep neural networks. In: The proceedings of IEEE conference computer vision pattern recognition (CVPR), pp 1492–1500
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